Cargando…
Potential risk assessment for safe driving of autonomous vehicles under occluded vision
This study aimed to explore how autonomous vehicles can predict potential risks and efficiently pass through the dangerous interaction areas in the face of occluded scenes or limited visual scope. First, a Dynamic Bayesian Network based model for real-time assessment of potential risks is proposed,...
Autores principales: | Wang, Denggui, Fu, Weiping, Song, Qingyuan, Zhou, Jincao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943059/ https://www.ncbi.nlm.nih.gov/pubmed/35322105 http://dx.doi.org/10.1038/s41598-022-08810-z |
Ejemplares similares
-
Quantum decision making in automatic driving
por: Song, Qingyuan, et al.
Publicado: (2022) -
Research on quantum cognition in autonomous driving
por: Song, Qingyuan, et al.
Publicado: (2022) -
Safe, Efficient, and Comfortable Autonomous Driving Based on Cooperative Vehicle Infrastructure System
por: Chen, Jing, et al.
Publicado: (2023) -
Obstacle Detection and Safely Navigate the Autonomous Vehicle from Unexpected Obstacles on the Driving Lane
por: Haris, Malik, et al.
Publicado: (2020) -
The vision subsystem of the autonomous vehicle ROBERT : Rev.
por: Taraglio, S
Publicado: (1993)